6 citations · 26 across the 12 of their papers we have counts for
Showing 2019Show all
2 papers · 1 filter
cs.LG2019★ 4 cited
Meta-Learning to Cluster
Yibo Jiang, Nakul Verma
Clustering is one of the most fundamental and wide-spread techniques in exploratory data analysis. Yet, the basic approach to clustering has not really changed: a practitioner hand…
cs.LG2019★ 2 cited
Model-Agnostic Meta-Learning using Runge-Kutta Methods
Daniel Jiwoong Im, Yibo Jiang, Nakul Verma
Meta-learning has emerged as an important framework for learning new tasks from just a few examples. The success of any meta-learning model depends on (i) its fast adaptation to ne…